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The Ins and Outs of Forecasting Unemployment: Using Labor Force Flows to Forecast the Labor Market

机译:预测失业的来龙去脉:使用劳动力流量预测劳动力市场

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This paper presents a forecasting model of unemployment based on labor force flows data that, in real time, dramatically outperforms the Survey of Professional Forecasters, historical forecasts from the Federal Reserve Board's Greenbook, and basic time-series models. Our model's forecast has a root-mean-squared error about 30 percent below that of the next-best forecast in the near term and performs especially well surrounding large recessions and cyclical turning points. Further, because our model uses information on labor force flows that is likely not incorporated by other forecasts, a combined forecast including our model's forecast and the SPF forecast yields an improvement over the latter alone of about 35 percent for current-quarter forecasts, and 15 percent for next-quarter forecasts, as well as improvements at longer horizons.
机译:本文提出了一种基于劳动力流动数据的失业预测模型,该模型实时显着优于专业预测员调查,美联储绿皮书的历史预测以及基本的时间序列模型。我们模型的预测的均方根误差比近期最佳预测的均方根误差低约30%,并且在出现大萧条和周期性转折点时表现尤其出色。此外,由于我们的模型使用的劳动力流动信息可能未包含在其他预测中,因此包括我们模型的预测和SPF预测在内的组合预测对本季度的预测产生了约35%的改善,而后者仅15%下一季度预测的百分比,以及更长时期的改进。

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